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Journal of Engineering Science and Technology Special Issue on ICCSIT 2018, July (2018) 116 - 131 © School of Engineering, Taylor’s University
116
ASSESSING THE IMPACT OF PRESENTATION MINING ON UNDERSTANDING AMONG VISUAL LEARNERS
VINOTHINI KASINATHAN1,*, IMRAN MEDI1, AIDA MUSTAPHA2, THOMAS PATRICK O’DANIEL1
1 Faculty of Computing, Engineering, and Technology, Asia Pacific University of
Technology and Innovation (APU), Technology Park Malaysia, Bukit Jalil, 5700 Kuala
Lumpur, Malaysia 2 Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn
Malaysia, Parit Raja, 86400 Batu Pahat, Johor, Malaysia
*Corresponding Author: [email protected]
Abstract
PowerPoint is popular amongst learners since it helps with content organization
and note-taking. This does not imply that learning has been effective for all
learners, as not everyone can learn by listening and reading simplified content
provided on PowerPoint slides. While it may be effective to the aural/auditory
learners from the Visual, Auditory and Kinesthetic sensory (VAK) model, it is
less effective for visual learners. This paper assesses the impact of presentation
mining, which is a tool that extracts keywords and key phrases from a collection
of PowerPoint slides and generates a mind map based on the extracted keywords
and key phrases. The target group is visual learners, as visualizing the content of
presentation slides in the form of mind maps is hypothesized to improve the
learning quality, thus making the materials easier to understand and to memorize.
To achieve the objective, a quantitative study was conducted by distributing
questionnaires to 80 randomly selected students at Asia Pacific University of
Technology and Innovation (APU), in Kuala Lumpur, Malaysia. The results of
the research indicated a significant increase of students understanding of the
learning materials provided using the proposed tool, although some further work
is required to improve the aesthetics of the mind map.
Keywords: Learning styles, Microsoft PowerPoint, Presentation mining, Visual
auditory kinetic, Visual auditory reading/writing kinetic.
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1. Introduction
Fleming and Mills [1] classified learning styles into three modalities, Visual,
Auditory, and Kinesthetic sensory (VAK). Fleming [2] has expanded (VAK) model
by adding writing to become the Visual, Auditory, Writing and Kinesthetic sensory
(VARK) model that attempts to account for differences in the way individuals
learn. The VARK model divides the visual modality into visual-graphic oriented
and reads/write (or text-oriented) learning style to distinguish between different
forms of visual information, suggesting that visual learners act better to information
presented in charts, diagrams or maps forms rather than to information presented
in word format. Visual learners are at a disadvantage when information is
disseminated via PowerPoint slides which are better suited to read/write learners
who are given the predisposition for text amongst most presenters. The traditional
classroom paradigm, although gradually giving way to learner-centric approaches,
is still prevalent and is not suited to the learning styles of most learners within
higher education today.
Turkington and Harris [3] stated that nearly 66.67% of Generation Y and
Millennials are visual learners, accustomed to the use of emojis, abbreviated text,
and notation. Prensky [4] popularized the term ‘digital native’ to refer to individuals
born during and after the emergence of digital technologies, for whom the
traditional method of disseminating information via structured and sequential
presentation slides is incompatible with their method of learning. As such, digital
natives are more lucid in the way gather knowledge and information, in which
Cornu [5] describes as a ‘hypertext’ approach.
Further research into learning styles across disciplines establishes a
predominance towards visual learners, with such learners constituting 82.4% within
the engineering domain [6], 56.5% across the medical sciences [7], and 48.4% in
occupational therapy [8]. For visual learners, visualization improves learning
efficiency and memory capacity, as well as the learning time itself. Whilst visual
learners are capable of absorbing information relatively quickly, their auditory
learning capabilities are weak thus making it difficult to learn via oral lectures and
reading. Nonetheless, visual learners can multi-task more effectively and can
perform a number of tasks such as texting, browsing, when learning. Due to a
preference for visual imagery, such learners face obstacles in classrooms where
PowerPoint slides are relied upon. To be effective, slides must incorporate more
interactive features as opposed to simple bullet points. Figure 1 outlines the basic
learning styles from the original VAK learning model.
Microsoft PowerPoint has become the primary teaching and learning aid within
most classrooms, providing summarized content delivered via a set of slides which
include text, pictures, charts, and diagrams. However, PowerPoint is effective in
content delivery in a concise and succinct manner, Weimer [9] suggests that a major
drawback of this method relates to content simply being copied by learners. Slides
are not used as a basis for further exploration and development of understanding,
rather slide content is simply memorized by learners. Xingeng and Jianxiang [10]
conduct a study to analyze and evaluate the effectiveness of PowerPoint slides in a
classroom setting. Their findings revealed that nearly 30% of the sample struggled
to focus during class due to insufficient material. A further 25% respondent stated
that such presentations tended to be dull and uninteresting whilst a further 20% felt
it be monotonous, often missing key points due to the uniform nature of the content.
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Up to 25% of those involved indicated that they were overwhelmed with the
information contained on each slide whilst a small number 8% stated that they
struggled to follow the overall structure and sequence of the presentation. These
findings mirror the research conducted by Cesena and Vernizzi [11], in which
visual learners struggle to process the oral explanation that accompanies slides.
Visual learners, therefore, struggled to conceptualize the information beyond the
slides and are not able to contextually apply the learning material.
To enhance the visual learners’ learning when using PowerPoint slides
Kasinathan et al. [12] have developed a presentation mining system that extracts
keywords and key phrases from a collection of PowerPoint slides and generates a
mind map based on the extracted keywords and key phrases. The automated
approach of generating a mind map from an ordinary set of PowerPoint slides could
potentially improve the learning experience amongst visual learners. This due to
the visualization of simplified bulleted text, showing the connections or
relationships between extracted keywords or key phrases. Aside from the
visualization of the links in the content of slides, mind maps clearly highlight the
most important keywords and key phrases from each slide, so that the revision time
for any learner going through the slides can be minimized.
Fig. 1. Characteristics of VAK [13].
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Figure 2 shows the reconstruction of keywords and key phrases from
PowerPoint slides into mind maps. Note that the nodes in thicker lines represent
the main topics in the PowerPoint slides.
Fig. 2. Reconstruction of keywords and key
phrases from PowerPoint slides into mind maps.
Presentation mining system is anticipated to benefit especially the visual
learners because they can see connections between the key concepts in the learning
material. Among the tangible benefits from presentation, mining system improves
learning time among the visual learners, learning is faster, and the learners become
more creative in solving complicated and tricky questions because of understanding
through a graphical representation of information. Moreover, the intangible
benefits include more flexible pedagogy in reaching out visual learners, since it
creates a sense of belonging in class when the visual learners feel engaged, as well
as a medium to maximize their learning potential.
2. Methods
This study is based on a quantitative research questioner to evaluate the
effectiveness of the presentation mining system in addressing the needs of visual
learners. Questionnaires serve as the instrument for data and feedback collection
due to their suitability for statistical measurement. The proposed questionnaire was
conducted to measure the respondents’ understanding when utilizing a presentation
mining system. It is performed amongst 80 randomly selected students at APU in
Kuala Lumpur, Malaysia. The questionnaire was structured to assess a group of
learners based on their learning style. The questionnaire consists of two sections.
Section A discusses the respondent’s demographic information, Section B aims to
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investigate the respondents’ attitude towards a presentation mining tool and the
extent to which it helped to facilitate their learning. A questionnaire was chosen as
the data elicitation tool primarily due to the volume of individuals that could be
targeted within a relatively short period of time. The presentation mining tool was
evaluated by 80 randomly selected students who agreed to take part in the study
and complete the questionnaire once their evaluation of the tool was complete.
Table 1 lists 23 objectives contained in Section B together with the respective
findings on learning styles.
Table 1. Questions, objectives, findings for determining learning styles.
Question
No. Objectives Findings
1. Determine the preferred method
of learning when a learn
encounters a new subject
Visual learners tend to immediately read
the written instructions, whilst auditory
learners will wait and listen to the
explanation provided by the instructor.
Kinesthetic learners prefer the hands-on
approach, immediately aiming to
familiarize themselves with new
equipment.
2. Explore which of the senses,
aural, visual or touch, is the most
effective means through which
learning takes place
Visual learners defer to a map, whereas
auditory learners will ask for directions.
Kinesthetic learners rely on their own
faculties to seek them through, utilizing
tools such as a compass.
3. Investigate how learners access
new information
When cooking, visual learners tend to
(prescriptively) follow a written recipe.
Auditory learner seeks guidance from
friends (conveyed orally), whilst
kinesthetic learners opt for
experimentation or trial and error.
4. Explore how learners with
different learning styles interpret
and disseminate information
When required to teach others, visual
learners tend to provide instructions in
written format. Auditory learners provide
verbal explanations, whereas kinesthetic
learners prefer demonstrations.
5. Explore how learners utilize
action, language, and images to
communicate
Visual learner gravitates towards images,
auditory learns to prefer language, and
kinesthetic learners communicate through
actions
6. Investigating learner interests
based on activities undertaken
frequently
Visual learners are likely to visit galleries
and museums to indulge their preferred
sense whilst auditory learners are likely to
socialize with friends and listen to music.
Kinesthetic learners are likely to opt for
sporting activities or anything that
requires physical exertion such as DIY.
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Question
No. Objectives Findings
7. Determine the difference in idea
representation and application
amongst learners
Considering shopping habits, visual
learners prefer to imagine themselves in a
specific outfit, as opposed to auditory
learners who would gather feedback from
sales assistance. Kinesthetic learners are
unlikely to do both and instead of
choosing to try and test the outfit by
themselves.
8. Investigate methods learners use
when collection useful
information
When gathering information about a
holiday, kinesthetic learners are likely to
visualize and imagine themselves at a
destination/holiday, whilst visual learners
would prefer to browse brochures.
Auditory learners prefer to hear
recommendations.
9. Identify learning preference and
behavior when engaging in
brainstorming activities.
Auditory learners will go over problems
and solutions mentally before acting,
kinesthetic learners will be tactile with the
writing instrument as they brainstorm,
whilst visual learners focus on
words/images when engaging in
brainstorming.
10. Investigate how learners evaluate
objects and arrive at a decision
Kinesthetic learners will engage with the
products through touch, visual learners
will base their purchase decisions based
on color or other visual cues whilst
auditory learners will base their decision
on sales’ person description.
11. Investigate how learners execute
short-term memory
Visual learners will remember an object/text
by looking at it for a prolonged period,
auditory learners will repeat words to
themselves, whilst kinesthetic learners will
learn by acting or performing an action.
12. Investigate how learners respond
to stress-induced anxiety and
how this affects their learning
behavior
Under stress, visual learners are likely to
imagine the worst possible outcome of the
situation, auditory learners will talk to
themselves continuously whilst
kinesthetic learners will pace around the
room.
13. To determine how learning
styles, shape preferences where
note taking is concerned
Auditory learners are likely to speak over
notes, visual learners will jot down points
and diagrams whilst kinesthetic are likely
to imagine what is being said.
14. Explore how learners best present
ideas
Whilst presenting, visual learners will use
images to convey what they mean,
auditory learners will look towards using
examples and anecdotes to explain their
position whilst kinesthetic learners will
discuss whatever topic they are
presenting.
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Question
No.
Objectives Findings
15. Identifying how frequent
activities influence learner
interests.
Visual learners pursued artistic interests
such as films, photography, viewing
artwork; whilst auditory learners preferred
to speak to friends and listen to music.
Kinesthetic learners preferred to partake
in activities such as dancing and sports.
16. Investigating learner preference
when interacting with people.
Preferred interactions for kinesthetic
learners are those which take place over
an activity, such as a meal or game.
Auditory learners prefer speaking on the
telephone whilst face to face meetings
were preferred by visual learners.
17. Exploring how learners from first
impressions when meeting new
people
Visual learners observe attire and base
first impressions on this. Meanwhile,
auditory learners formed impressions
based on how people spoke and sounded
whilst kinesthetic learners’ impressions
through body language and movement.
18. Explore how learners determine
situations that triggered anger
within them and their initial
reaction to this.
When angered, visual learners will choose
to go over and replay the situation in their
mind to determine the cause of their
emotion. Auditory learners will react
verbally, through raising voices and
explaining how they feel. Kinesthetic
learners are likely to react physically by
slamming doors or stamping their feet.
19. To examine learner preference in
remembering people.
Visual learners will remember faces,
auditory learners gravitate towards names
whilst kinesthetic learns to remember
actions taken or base this on an
individual’s conduct.
20. Exploring how learners interpret
body language
When determining whether an individual
is being dishonest, visual learners will
focus on eye contact and movement.
Auditory learners will focus on the voice
and focus on any change in pitch for
example. Kinesthetic learners, on the
other hand, focus on body language and
non-verbal cues to pick up on any
‘suspicious’ movements.
21. Explore how learners use body
language when socializing
When socializing visual learners prefer
maintaining eye contact and
acknowledging one’s presence through
their gaze. Auditory learners use words
and verbal expressions when greeting
individuals, whilst kinesthetic learners
prefer making physical contacts such as
hugs or handshakes.
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Question
No.
Objectives Findings
22. Examine how learners store ideas
for later recall.
In order to store ideas and new concepts,
visual learners showed a preference for
note taking, auditory learners preferred
repeating ideas to themselves both
mentally and verbally, whereby,
kinesthetic learners preferred to practice
the activity or visualize themselves
applying the idea.
23. Determine learner preference for
expressing a complaint.
Visual learners preferred to put down
their views in writing. Auditory learners
preferred to complain verbally via
telephone conversation. Kinesthetic
learners preferred to contact an office
directly in person.
Upon grouping, respondents were assessed as to their learning preferences.
The objective was to identify the preferred learning style amongst the visual
learners when they use Microsoft PowerPoint for learning and required
respondents to select the presentation format which most effectively conveyed
information to them. Figure 3 illustrates the choice of presentation format
presented to respondents, whilst Fig. 4 assesses the type of slide presentation style
that the learners preferred.
Fig. 3. Which of the following presentation
style helps you to brainstorm effectively.
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Fig. 4. Which of the presentation style that you prefer?
3. Results
The majority of the respondents 50% were Malaysian nationals which were not
expected, whereby 10% of respondents identified themselves as Indian nationals,
the remaining of the respondent originated from across East, South East, South, and
Central Asia. In terms of educational level, four quarters were pre-university 62%,
undergraduate 24%, masters 10% and 4% doctoral candidates as shown in Fig. 5.
Fig. 5. Distribution of study area or course program among respondents.
Section B of the questionnaire consisted of 23 questions form the basis for
assessing the respondents’ learning style. In keeping with previous research [3] most
respondents are visual learners (44%), with a further 17% a combination of visual
and auditory learners, 13% a mixture of visual and kinesthetic learner, 13% auditory
learners, 4% a mixture of auditory and kinesthetic learners, and finally 9% classified
as kinesthetic learners. The distribution of learning styles is indicated in Fig. 6, whilst
Pre-University62%
Undergraduate24%
Master10%
PhD4%
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Table 2 conveys the percentage of visual learners, aural/auditory learners, and
kinesthetic learners with respect to each questionnaire question.
Fig. 6. Distribution of learning styles among the respondents.
Table 2. Analysis of Learning Styles among the respondent.
Question
No.
Analysis
1. 40% reads instruction, 30% listens to explanation, 30%
experimenting
2. 35% look at the map, 35% asks for direction, 30% uses a
compass
3. 40% follows a recipe, 40% testing, 20% calls a friend for an
explanation
4. 40% demonstrates it first, 35% gives a verbal explanation, 25%
writes the instruction
5. 40% watches how I do it, 35% listen to me, 25% you have a go
6. 40% plays a sport or do DIY, 35% listening to music and talking
to friends, 25% goes to museums and galleries
7. 40% tries and tests them (C), 40% imagines what they will look
like in it, 20% discusses with shop staff
8. 40% reads brochures, 35% imagine what it would be like, 25%
follows the recommendation from friends
9. 40% focuses on words and pictures, 40% discusses problems
and solutions in the head, 20% moves around a lot and fiddles
with pens
Visual44%
Visual + Auditory17%
Visual + Kinestheic13%
Auditory13%
Auditory + Kinestheic
4%
Kinestheic9%
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Question
No.
Analysis
10. 35% likes the colors and how they look, 35% follows description
by salespeople, 30% likes to touch the texture
11. 35% by looking at something, 35% by doing something (C),
30% by being spoken to
12. 45% visualizes the worst-case scenario, 30% talks over in the
head, 25% fiddles and moves around
13. 40% writes revision notes and diagrams, 35% discusses notes
with other people, 25% imagines making a movement or
creating the formula
14. 40% talks them through my idea as they do it, 35% shows them
what I mean, 25% explains to them in a different way
15. 45% watches film or photography, 30% listens to music or
talking to friends, 25% taking part sporting activities, eating fine
foods, and dancing
16. 40% arranges face-to-face meeting, 30% talks through
telephone, 30% gathers through activities
17. 45% look and dress, 35% sound and speak, 20% stand and move
18. 40% raise my voice and tell people, 35% keep relaying in my
mind, 25% physically demonstrate my anger
19. 35% faces, 35% things that I have done, 30% names
20. 40% they try to avoid looking at you, 35% they give funny vibes,
25% their voice change
21. 35% “Great to hear from you”, 35% give them a hug or
handshake, 30% “Great to see you”
22. 35% writing notes or keeps printed details, 35% saying them
aloud or repeating words and key points in my head, 30%
practicing activity or imagine it to be done
23. 40% complains about the phone, 35% taking them back to the
office, 25% writes a letter
Finally, Section C assesses the learning preferences among the visual learners.
From Figs. 7 and 8, the study concludes that visual learners prefer mind maps as
the brainstorming tools and prefer simple slides architecture, containing on titles
and its description.
Based on Fig. 7, 50% of the respondents preferred information presented in the
form of a mind map, 15% preferred diagrams, 20% preferred information in the
form of a pie chart, and 15% preferred the use of tables. As for Fig. 8, 55% of the
respondents preferred a slide layout consisting of a main topic and sub-topics, 20%
preferred a topic with descriptions, 10% preferred topic, description, and pictures,
and finally, 15% preferred topics, descriptions, and comparison of topics. A follow-
up questionnaire was distributed to 50 participants with some experience of
presentation mining software. Respondents are delineated into students and
lecturers, with three quarters falling into the latter category. When asked to evaluate
the system’s user interface and its usability, most students indicate an over
satisfaction with the User Interface (UI) as shown in Fig. 9.
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Fig. 7. Results of respondents’ preferred way of information dissemination.
Fig. 8. Results of respondents’ preferred
slide structure for the question in Fig. 3.
Fig. 9. Level of satisfactory over user interface on presentation mining.
Picture 150%
Picture 215%
Picture 320%
Picture 415%
Picture 155%
Picture 220%
Picture 310%
Picture 415%
0 (0%)
9 (18%) 11 (22%)
1 (2%)
29 (58%)
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Figures 10 and 11 show the satisfactory level in using this system. The overall
response is very positive.
Fig. 10. Overall satisfactory level of the system.
Fig. 11. Overall satisfactory level with system output.
The next question was directed more towards lecturers as shown in Fig. 12, as
to whether the tool will be useful for students.
Fig. 12. Recommendation to students.
0 (0%)
4 (8%)
10 (20%)
23 (46%)
13 (26%)
0 (0%) 3 (6%)
15 (30%)
19 (38%)
13 (26%)
17 (34%)
21 (42%)
11 (22%)
1 (2%) 0 (0%)
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Figures 13 and 14 show the actual usage of the system for students and whether
they would recommend to other potential users.
Fig. 13. Usefulness of the tool to students.
Fig 14. Introducing and using the software in the future.
Other overall feedback from the participants can be summarized as follows.
On a positive note, software is informative, and features can be used to edit the
mind map and design the font. Also, the user can customize the number of
keywords shown in the mind map and request for more colors on the nodes. The
application has been identified as easy to use and saves time. The generated mind
map is easier to understand than drawing one’s own complex diagram.
Generating the mind map is fast in contrast to the huge number of slides used.
Furthermore, the tool is potentially beneficial to everyone and not just students
and lecturers, although its benefits as a revision tool are clear to see. As such,
positive feedback from students stated that they find the proposed tool useful and
easy to use. One of the student’s feedback stated that the system had, “Great
features, and if possible allowing the users to simultaneously process more
chapters, might reduce the time and the repetitive actions of selecting another
file if the users desire to make a mind map for each chapter”.
0 (0%) 3 (6%)
14 (28%)
18 (36%)
15 (30%)
2 (4%)
14 (28%)
15 (30%)
11 (22%)
0 (0%)
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4. Conclusions
This paper has attempted to determine the impact of a presentation mining system
upon visual learners. The proposed system produces a mind map which is
formulated using keywords and key phrases extracted from a set of PowerPoint
slides. Based on the intrinsic characteristics of learning that are specific to visual,
aural/auditory or kinesthetic learners research conducted, the graphical
representation of information improves visual learners’ understanding. As such,
the presentation mining system has the potential to reduce learning time and
compliments existing presentation software, which can be extended to provide
visual maps of the corresponding text-based slides. For future work, it is necessary
to evaluate the quality of the mind maps generated by the presentation mining
system to mind a means to access the performance of learners. Overall, the
feedback gained from the research participants provide guidelines for future
improvements to the system, whilst the additional investigation is also required to
explore how the system can be further improved to meet the needs of Visual and
Read/Write learners.
Abbreviations
VAK Visual, Auditory, Kinesthetic
VARK Visual, Auditory, Reading/Writing, Kinesthetic
WHO World Health Organization
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